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Embedded system on high performance data for wearable augmented reality of eye blinks, muscle stress detection movement and observation

Eyes blinking and its movement can portray many reasons of the body and health state. Eyes can blink intentionally and sometimes randomly even in sleeping mode. Thus, the aim of this paper is to discover and observe the relationship between the frequency of eye blink and the level of eye muscle stre...

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Main Authors: Alias, Norma, Mohsin, Mohamad, Mustaffa, Husna, Nadirah, Maizatul, Saipan Saipo, Hafizah Farhah, Al-Rahmi, Waleed Mugahed, Al-Maatouk, Qusay
Format: Article
Language:English
Published: Science Publishing Corporation Inc. 2018
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/85202/1/NormaAlias2018_EmbeddedSystemonHighPerformanceData.pdf
http://eprints.utm.my/id/eprint/85202/
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spelling my.utm.852022020-03-04T01:30:43Z http://eprints.utm.my/id/eprint/85202/ Embedded system on high performance data for wearable augmented reality of eye blinks, muscle stress detection movement and observation Alias, Norma Mohsin, Mohamad Mustaffa, Husna Nadirah, Maizatul Saipan Saipo, Hafizah Farhah Al-Rahmi, Waleed Mugahed Al-Maatouk, Qusay Q Science (General) Eyes blinking and its movement can portray many reasons of the body and health state. Eyes can blink intentionally and sometimes randomly even in sleeping mode. Thus, the aim of this paper is to discover and observe the relationship between the frequency of eye blink and the level of eye muscle stress. The eye track data is fed directly into the electroencephalogram (EEG) record for parameter classification and identification. The EEG signal might have an artifact that has been analyzed and converted the observation into the mathematical library and repository software (HPC). The artificial neural network (ANN) is integrated with EEG digital data by the derivation of the mathematical modelling. The function of ANN is to train a large sparse digital data for future prediction of eye condition associated with the stress level. In order to validate the model and simulation, the numerical analysis and performance evaluation are compared to the real data set of eye therapy industry, IC Herbz Sdn Bhd. A library and repository software of mathematical model using EEG record data is developed to integrate with wearable augmented reality (WAR) based on EEG sensor device for predicting and monitoring the real time eye blinks, movement and muscle stress. Science Publishing Corporation Inc. 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/85202/1/NormaAlias2018_EmbeddedSystemonHighPerformanceData.pdf Alias, Norma and Mohsin, Mohamad and Mustaffa, Husna and Nadirah, Maizatul and Saipan Saipo, Hafizah Farhah and Al-Rahmi, Waleed Mugahed and Al-Maatouk, Qusay (2018) Embedded system on high performance data for wearable augmented reality of eye blinks, muscle stress detection movement and observation. International Journal of Engineering & Technology, 7 (4). pp. 3263-3267. ISSN 2227-524X
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Alias, Norma
Mohsin, Mohamad
Mustaffa, Husna
Nadirah, Maizatul
Saipan Saipo, Hafizah Farhah
Al-Rahmi, Waleed Mugahed
Al-Maatouk, Qusay
Embedded system on high performance data for wearable augmented reality of eye blinks, muscle stress detection movement and observation
description Eyes blinking and its movement can portray many reasons of the body and health state. Eyes can blink intentionally and sometimes randomly even in sleeping mode. Thus, the aim of this paper is to discover and observe the relationship between the frequency of eye blink and the level of eye muscle stress. The eye track data is fed directly into the electroencephalogram (EEG) record for parameter classification and identification. The EEG signal might have an artifact that has been analyzed and converted the observation into the mathematical library and repository software (HPC). The artificial neural network (ANN) is integrated with EEG digital data by the derivation of the mathematical modelling. The function of ANN is to train a large sparse digital data for future prediction of eye condition associated with the stress level. In order to validate the model and simulation, the numerical analysis and performance evaluation are compared to the real data set of eye therapy industry, IC Herbz Sdn Bhd. A library and repository software of mathematical model using EEG record data is developed to integrate with wearable augmented reality (WAR) based on EEG sensor device for predicting and monitoring the real time eye blinks, movement and muscle stress.
format Article
author Alias, Norma
Mohsin, Mohamad
Mustaffa, Husna
Nadirah, Maizatul
Saipan Saipo, Hafizah Farhah
Al-Rahmi, Waleed Mugahed
Al-Maatouk, Qusay
author_facet Alias, Norma
Mohsin, Mohamad
Mustaffa, Husna
Nadirah, Maizatul
Saipan Saipo, Hafizah Farhah
Al-Rahmi, Waleed Mugahed
Al-Maatouk, Qusay
author_sort Alias, Norma
title Embedded system on high performance data for wearable augmented reality of eye blinks, muscle stress detection movement and observation
title_short Embedded system on high performance data for wearable augmented reality of eye blinks, muscle stress detection movement and observation
title_full Embedded system on high performance data for wearable augmented reality of eye blinks, muscle stress detection movement and observation
title_fullStr Embedded system on high performance data for wearable augmented reality of eye blinks, muscle stress detection movement and observation
title_full_unstemmed Embedded system on high performance data for wearable augmented reality of eye blinks, muscle stress detection movement and observation
title_sort embedded system on high performance data for wearable augmented reality of eye blinks, muscle stress detection movement and observation
publisher Science Publishing Corporation Inc.
publishDate 2018
url http://eprints.utm.my/id/eprint/85202/1/NormaAlias2018_EmbeddedSystemonHighPerformanceData.pdf
http://eprints.utm.my/id/eprint/85202/
_version_ 1662754365911334912
score 13.244404

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